SOURCE-LINKED INTELLIGENCE
Industrial Anomaly Detection via Defect-Grounded Reasoning in Visual Latent Space
Industrial anomaly detection (IAD) is evolving beyond conventional detection and localization toward multimodal inspection systems that can describe, explain, and reason about fine-grained defects. Although recent multimodal large language model (MLLM)-based methods improve anomaly understanding through textual reasoning and visual guidance, they face two limitations in fine-grained inspection. First, their visual refinement often requires iteratively revisiting local image regions or augmenting with additional tools. Second, the resulting local defect evidence may not be reliably preserved th
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-24T12:11:18.000Z
First collected: 2026-09-25T06:12:46.948Z. This is not the publication date.